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#!/bin/bash
set -e
echo "Activating test environment:"
if [[ "$PYTHON_VERSION" == pypy3* ]]; then
source pypy3/bin/activate
else
source activate testenv
fi
which python
python -V
python -c "import multiprocessing as mp; print('multiprocessing.cpu_count():', mp.cpu_count())"
python -c "import joblib; print('joblib.cpu_count():', joblib.cpu_count())"
if [[ "$SKIP_TESTS" != "true" ]]; then
if [ "$COVERAGE" == "true" ]; then
# Enable coverage-related options. --cov-append is needed to combine
# the test run and the test-doc run coverage.
export PYTEST_ADDOPTS="--cov=joblib --cov-append"
fi
pytest joblib -vl --timeout=120 --junitxml="${JUNITXML}"
make test-doc
fi
if [[ "$SKLEARN_TESTS" == "true" ]]; then
# Install the nightly build of scikit-learn and test against the installed
# development version of joblib.
# TODO: unpin pip once either https://github.com/pypa/pip/issues/10825
# accepts invalid HTML or Anaconda is fixed.
conda install -y -c conda-forge cython pillow numpy scipy "pip<22"
pip install --pre --extra-index https://pypi.anaconda.org/scientific-python-nightly-wheels/simple scikit-learn
python -c "import sklearn; print('Testing scikit-learn', sklearn.__version__)"
# Move to a dedicated folder to avoid being polluted by joblib specific conftest.py
# and disable the doctest plugin to avoid issues with doctests in scikit-learn
# docstrings that require setting print_changed_only=True temporarily.
NEW_TEST_DIR=$(mktemp -d)
cd $NEW_TEST_DIR
pytest -vl --maxfail=5 -p no:doctest \
-k "not test_import_is_deprecated" \
-k "not test_check_memory" \
--pyargs sklearn
# Justification for skipping some tests:
#
# test_import_is_deprecated: Don't worry about deprecated imports: this is
# tested for real in upstream scikit-learn and this is not joblib's
# responsibility. Let's skip this test to avoid false positives in joblib's
# CI.
#
# test_check_memory: scikit-learn test need to be updated to avoid using
# cachedir: https://github.com/scikit-learn/scikit-learn/pull/22365
fi
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